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Statistically significant detection of semantic shifts using contextual
  word embeddings
v1v2 (latest)

Statistically significant detection of semantic shifts using contextual word embeddings

8 April 2021
Yang Liu
A. Medlar
D. Głowacka
ArXiv (abs)PDFHTML

Papers citing "Statistically significant detection of semantic shifts using contextual word embeddings"

4 / 4 papers shown
Title
Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
Arno Simons
Michael Zichert
Adrian Wüthrich
17
0
0
13 Jun 2025
Comfort Foods and Community Connectedness: Investigating Diet Change
  during COVID-19 Using YouTube Videos on Twitter
Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 Using YouTube Videos on Twitter
Yelena Mejova
L. Manikonda
87
3
0
19 May 2023
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
Ze Chen
Kangxu Wang
Zijian Cai
Jiewen Zheng
Jiarong He
Max Gao
Jason Zhang
MoE
57
3
0
07 Nov 2022
A Greek Parliament Proceedings Dataset for Computational Linguistics and
  Political Analysis
A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis
Konstantina Dritsa
Kaiti Thoma
John Pavlopoulos
Panos Louridas
AILaw
53
1
0
23 Oct 2022
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